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Publication

Mapping Spectral Frames to Pitch with the Support Vector Machine

A. W. Schmeder, “Mapping Spectral Frames to Pitch with the Support Vector Machine”, in International Computer Music Conference, Miami, FL, 2004, pp. 664-667.

The Support Vector Machine algorithm is studied in the con-text of pitch estimation. Its learning capacity is analyzed using an artificial dataset of harmonic spectra. We propose an architecture for learning pitch in difficult real-world scen-arios, and demonstrate its application with a database of gui-tar sounds. Domain-specific aspects of kernel methods are discussed, and a method for extracting structural knowledge via visualization is examined.

Publication

Live interactive computer music and performance practice

D. Wessel, “Live interactive computer music and performance practice”, Journal of the Acoustical Society of America, vol. 3, pp. 2348-2348, 2002.

A live‐performance musical instrument can be assembled around current lap‐top computer technology. One adds a controller such as a keyboard or other gestural input device, a sound diffusion system, some form of connectivity processor(s) providing for audio I/O and gestural controller input, and reactive real‐time native signal processing software. A system consisting of a hand gesture controller; software for gesture analysis and mapping, machine listening, composition, and sound synthesis; and a controllable radiation pattern loudspeaker are described.

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